Numerical Simulation of Polymer Flooding in a Heterogeneous Reservoir - Constrained Vs Unconstrained Optimization

Research output: Contribution to conferencePaper

Abstract

This study investigates how a polymer flood design can be optimized while considering geological uncertainty in the reservoir models. Polymer flooding can increase oil recovery, reduce water cut, and improve sweep efficiency by diverting flow to low permeable zones. We applied two different history matching approaches (manual and gradient-based) to match data from a prolonged waterflood in the Watt field, a synthetic but realistic clastic reservoir that is based on real data and captures a wide range of geological heterogeneities and uncertainties through a range of different model scenarios and model realizations. The subsequent polymer flood is then optimized using history-matched models (constrained optimization) and the original, non-history-matched models (unconstrained optimizations). The aim is to study how geological uncertainties innate in clastic reservoir affect polymer flooding, and how different history matching approaches impact the predicted reservoir performance and optimal polymer flood design. A key observation is that shale cut-offs were a major uncertainty when optimizing the polymer flood for this field. In addition, the constrained optimization gave a much narrower forecast for incremental oil recovery during polymer flooding, possibly underestimating both risk and economic opportunities.

Conference

Conference80th EAGE Conference and Exhibition 2018
CountryDenmark
CityCopenhagen
Period11/06/1814/06/18
Internet address

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flooding
polymer
simulation
design flood
history
oil
shale
economics
water

Cite this

@conference{64e78f1c61a644a590c4272ebb81f58f,
title = "Numerical Simulation of Polymer Flooding in a Heterogeneous Reservoir - Constrained Vs Unconstrained Optimization",
abstract = "This study investigates how a polymer flood design can be optimized while considering geological uncertainty in the reservoir models. Polymer flooding can increase oil recovery, reduce water cut, and improve sweep efficiency by diverting flow to low permeable zones. We applied two different history matching approaches (manual and gradient-based) to match data from a prolonged waterflood in the Watt field, a synthetic but realistic clastic reservoir that is based on real data and captures a wide range of geological heterogeneities and uncertainties through a range of different model scenarios and model realizations. The subsequent polymer flood is then optimized using history-matched models (constrained optimization) and the original, non-history-matched models (unconstrained optimizations). The aim is to study how geological uncertainties innate in clastic reservoir affect polymer flooding, and how different history matching approaches impact the predicted reservoir performance and optimal polymer flood design. A key observation is that shale cut-offs were a major uncertainty when optimizing the polymer flood for this field. In addition, the constrained optimization gave a much narrower forecast for incremental oil recovery during polymer flooding, possibly underestimating both risk and economic opportunities.",
author = "Emmanuel Ibiam and Sebastian Geiger and Daniel Arnold and Vasily Demyanov",
year = "2018",
month = "6",
day = "11",
doi = "10.3997/2214-4609.201801440",
language = "English",
note = "80th EAGE Conference and Exhibition 2018 ; Conference date: 11-06-2018 Through 14-06-2018",
url = "https://events.eage.org/en/2018/eage-annual-2018",

}

Ibiam, E, Geiger, S, Arnold, D & Demyanov, V 2018, 'Numerical Simulation of Polymer Flooding in a Heterogeneous Reservoir - Constrained Vs Unconstrained Optimization' Paper presented at 80th EAGE Conference and Exhibition 2018, Copenhagen, Denmark, 11/06/18 - 14/06/18, . DOI: 10.3997/2214-4609.201801440

Numerical Simulation of Polymer Flooding in a Heterogeneous Reservoir - Constrained Vs Unconstrained Optimization. / Ibiam, Emmanuel; Geiger, Sebastian; Arnold, Daniel; Demyanov, Vasily.

2018. Paper presented at 80th EAGE Conference and Exhibition 2018, Copenhagen, Denmark.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Numerical Simulation of Polymer Flooding in a Heterogeneous Reservoir - Constrained Vs Unconstrained Optimization

AU - Ibiam,Emmanuel

AU - Geiger,Sebastian

AU - Arnold,Daniel

AU - Demyanov,Vasily

PY - 2018/6/11

Y1 - 2018/6/11

N2 - This study investigates how a polymer flood design can be optimized while considering geological uncertainty in the reservoir models. Polymer flooding can increase oil recovery, reduce water cut, and improve sweep efficiency by diverting flow to low permeable zones. We applied two different history matching approaches (manual and gradient-based) to match data from a prolonged waterflood in the Watt field, a synthetic but realistic clastic reservoir that is based on real data and captures a wide range of geological heterogeneities and uncertainties through a range of different model scenarios and model realizations. The subsequent polymer flood is then optimized using history-matched models (constrained optimization) and the original, non-history-matched models (unconstrained optimizations). The aim is to study how geological uncertainties innate in clastic reservoir affect polymer flooding, and how different history matching approaches impact the predicted reservoir performance and optimal polymer flood design. A key observation is that shale cut-offs were a major uncertainty when optimizing the polymer flood for this field. In addition, the constrained optimization gave a much narrower forecast for incremental oil recovery during polymer flooding, possibly underestimating both risk and economic opportunities.

AB - This study investigates how a polymer flood design can be optimized while considering geological uncertainty in the reservoir models. Polymer flooding can increase oil recovery, reduce water cut, and improve sweep efficiency by diverting flow to low permeable zones. We applied two different history matching approaches (manual and gradient-based) to match data from a prolonged waterflood in the Watt field, a synthetic but realistic clastic reservoir that is based on real data and captures a wide range of geological heterogeneities and uncertainties through a range of different model scenarios and model realizations. The subsequent polymer flood is then optimized using history-matched models (constrained optimization) and the original, non-history-matched models (unconstrained optimizations). The aim is to study how geological uncertainties innate in clastic reservoir affect polymer flooding, and how different history matching approaches impact the predicted reservoir performance and optimal polymer flood design. A key observation is that shale cut-offs were a major uncertainty when optimizing the polymer flood for this field. In addition, the constrained optimization gave a much narrower forecast for incremental oil recovery during polymer flooding, possibly underestimating both risk and economic opportunities.

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Ibiam E, Geiger S, Arnold D, Demyanov V. Numerical Simulation of Polymer Flooding in a Heterogeneous Reservoir - Constrained Vs Unconstrained Optimization. 2018. Paper presented at 80th EAGE Conference and Exhibition 2018, Copenhagen, Denmark. Available from, DOI: 10.3997/2214-4609.201801440